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DATA ANALYSIS

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Running Head: DATA ANALYSIS 2

DATA ANALYSIS 2

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DATA ANALYSIS

Introduction

Data analysis is constructive in understanding organizational operations. Analyzed data will be useful in understanding how information has been helpful and how the organization will help make informed decisions concerning operations (Mölder et al., 2021). The management in healthcare facilities will use the analyzed information to make informed decisions. The information below investigates the summary of the organizational processes of the two clinics.

Analysis

	clinic1	clinic2

Mean	124.3	145.0
Standard Error	4.7	4.0
Median	134.5	149.5
Mode	150	175
Standard Deviation	46.8	39.8
Sample Variance	2,188.5	1,582.5
Kurtosis	- 0.4	0.3
Skewness	- 0.5	- 0.1
Range	183	221
Minimum	24	42
Maximum	207	263
Sum	12,432	14,503
Count	100	100

The table above represents a summary of one hundred data points for each of the clinics. The information in the table above will help analyze data from the clinics and make informed decisions about the clinic.

The table below will analyze the data using a T-Test for two sample assuming equal variance.

t-Test: Two-Sample Assuming Equal Variances
	clinic1	clinic2
Mean	124.32	145.03
Variance	2188.54303	1582.514242
Observations	100	100
Pooled Variance	1885.528636
Hypothesized Mean Difference	0
Df	198
t Stat	-3.372473414
P(T<=t) one-tail	0.000447968
t Critical one-tail	1.652585784
P(T<=t) two-tail	0.000895937
t Critical two-tail	1.972017478

Summary of the Data

The first element included in the table is the mean, which has the average of the numbers provided above. The means for clinics 1 and 2 are 124.3 and 145, respectively. This indicates that Clinic 2 has a higher mean than Clinic 1. The standard error investigates the accuracy of the mean from the sample. The sample error for the two samples is 4.7 and 4 for clinics 1 and 2, respectively. The median indicates the number in the middle of the cells. The median for clinics 1 and 2 is 134.5 and 149.5, respectively. The mode represents the most common number, and the modes for clinics 1 and 2 are 150 and 175, respectively. This indicates that Clinic 2 has higher values than Clinic 1.

The standard deviation looks at how the data has deviated concerning the mean. Clinic 1 has a higher standard deviation as compared to Clinic 2. This indicates that Clinic 1 has a lower mean, and the data is broadly dispersed. Variance is the square of the standard deviation, a measure of dispersion considering the spread of all data points. Since Clinic 1 has a higher standard deviation, the variance is also higher than Clinic 2. Kurtosis investigates the peakness of the distribution. Clinic 1 has a negative kurtosis, whereas Clinic 2 has a positive kurtosis. This indicates that clinic 2 has more of its data peaked than average. Skewness investigates the direction of the outliers. The data is skewed to the left as both clinical data are negatively skewed.

The range investigates the difference between the highest and lowest values. The highest values in clinics 1 and 2 are 207 and 263, whereas the lowest values for clinics 1 and 2 are 24 and 42, respectively. This indicates that the range of the data values for Clinic 2 is much higher than for Clinic 1.

The T test will help in analyzing data from the clinics in terms of hypothesis testing. This will be based on the assumption of either accepting or rejecting the hypothesis based on the P-Value. The null hypothesis in this scenario is that the data from clinic 1 is not equal to the data in clinic 2. From the T-Test summary, the P value is 0.003 which is less than 0.05. It indicates that the null hypothesis should be rejected. This indicates that Clinc 2 has higher values than clinic 1.

Summary of the information

Making informed decisions based on summary on data will not only help in the short-run operations of the business but also the long-term operations (Mölder et al., 2021). Businesses are working hard to increase their operations by ensuring that their levels of operations are way higher than what the competitors are having and ensuring that the objectives for operations are being met. Investors will want to place their stakes where there are more patients in the organization and the clinic is having increased number of patients in the facility. This will be grounded on ensuring healthcare facilities have qualitative staff who are needed at each point as well as resources necessary for operations to take place. Analysis will help make decision making for all stakeholders be effective.

References

Mölder, F., Jablonski, K. P., Letcher, B., Hall, M. B., Tomkins-Tinch, C. H., Sochat, V., ... & Köster, J. (2021). Sustainable data analysis with Snakemake. F1000Research, 10.